Publications and Contributions
Peer-reviewed research and contributions connecting AI interpretability, data analytics, and real-world impact.
AI-Instigated Human Oversight: Rethinking Human-in-the-Loop Safety in Clinical AI
AAAI 2026 Bridge on AI for Medicine and Healthcare (AIMedHealth) - Accepted, First-authored
- - Framework enabling clinical AI systems to self-assess uncertainty and autonomously trigger human intervention.
- - Addresses core challenge of building systems that know when they need human help.
Paper link will be updated soon!
AI-Related Advertising on Facebook: Addressing Bias, Targeting Challenges and Regional Factors
Journal of Information Systems Applied Research and Analytics (JISARA) 2025, First-authored
- - Growing bias in AI advertisement on social media platforms (here, Facebook).
- - Measure fairness and precision in AI-targeted ads.
- - Statistical analysis and evaluation on GB-scale ads.
- - Found significant demographic and regional skew.
- - Offered design insights for ethical targeting.
Evaluating the Precision and Bias in AI-Related Facebook Advertising: A Comprehensive Analysis
ISCAP 2024, First-authored
- - Initial research on growing bias in AI adevertisement in Facebook advertisement ecosystem.
- - Later extended to JISARA article.
- - Presented the research study at the ISCAP Nov 2024 Conference.
Impaired Axon Regeneration & Heightened Synaptic Dynamics in the Injured Aged Cortex
iScience (accepted) 2025, Contributed
- - Aging alters neural recovery mechanisms.
- - Quantify synaptic and axonal changes post-injury.
- - In vivo imaging + computational network modelling.
- - Revealed reduced regeneration and hyperplasticity.
- - Advanced understanding of neural aging dynamics.